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Utilizing Satellite Imagery to understand what is happening on and to the Earth

Core Software Engineer

$125k – $180k • 0.0% – 0.05%
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Be in the middle of everything ... and the only one who actually knows how it all works. You’re in the core, the middle, the center. All roads go via you. Whatever it is they want, it requires you. You have deep experience using Python and varied open source packages to build serious cloud computing pipelines. We ingest many kinds of geospatial data and then we dice, slice, stretch, rotate, and combine them. We use deep learning to turn the pixels into numbers. We model, aggregate, transform the numbers into meaningful insights. This entire pipeline is formulated, created, monitored, and managed by you. Experience working at scale is pretty darned important. The world is a very big place. With a single photograph of Earth, like the famous "Blue Marble" from Apollo 17, the entire world can fit on a computer screen. However, with this image you would not be able to see much detail. To see the Earth and all of its rich features, you would need a lot more images. In fact it would take over 500 million images just to observe the land area of Earth at 1 meter pixel resolution. In order to see detail and work at scale, we use computer vision and machine learning. Using convolutional neural networks, we have counted over 3 billion cars across global roads and parking lots, analyzing commercial patterns as well as city growth and development. Our global energy product uses computer vision to map floating roof oil tanks and measure the global volumes of crude oil. With this product, we were able to show that China has 200 million barrels of oil storage capacity that was unknown even to the trading community. Other projects include tracking rates of deforestation, measuring poverty levels around the globe, monitoring construction rates of new roads and buildings, and predicting crop yields. This is still the beginning of our mission to understand the Earth. This position will be based in our Mountain View, CA office. Job Duties: * Define algorithms for image ingestion, re-projection, tiling, normalization, spatial intersection, and other initial processing * Maintain and process large amounts of geospatial data; write code for automating complex geospatial requests * Build and maintain production pipelines for ingesting images from satellite/UAV operators and processing them in the cloud at scale * Work with machine vision and data science teams to define and implement algorithms for multispectral image analysis, machine vision, and data analysis * Work with front end team to serve the results up to our users

Skills & Qualifications: * Bachelor’s Degree in Computer Science or related discipline * 3+ years experience with Python or other similar language * Knowledge of GDAL or Postgis a major plus * Experience with large-scale analysis of satellite imagery a major plus We are backed by marquee investors such as Sequoia Capital, Google Ventures, In-Q-Tel, and Bloomberg Beta, Orbital Insight is rapidly expanding its commercial and public sector capabilities. Come join us if you are unafraid to try new approaches and relentlessly seek to push the state of the art, taking projects all the way from prototype to production-ready. Perks: - Stock Options - Competitive Salaries - Paid time off - Medical, dental, and vision insurance - Life & disability coverage - 401k - Flexible Spending Accounts - Apple equipment - Twice a week catered lunches - Monthly happy hour in office - Stocked kitchen with healthy snacks, coffee, tea, etc. - Easy commute via Caltrain, with company sponsored Go Pass

Meet your team

People you would work with in this role

Boris Babenko

Avatar for Boris Babenko
Vision Engineer @Orbital Insight. Prior to that, Engineer @Dropbox, co-founder @Anchovi Labs, PhD in Computer Science (Machine Vision & Learning) @UCSD.

Adam Kraft

Avatar for Adam Kraft
Computer vision and machine learning engineer.

Elizabeth Smith, PhD

Avatar for Elizabeth Smith, PhD
Staff Data Scientist @orbital_insight. Formerly postdoc @UCSF @advlightsource, PhD @UWMadison, physics @pomonacollege.

Steven Bickerton

Avatar for Steven Bickerton
Data analysis and software (Python,C++,SQL) for astrophysical surveys with TBs of data BSc.Eng. Geophysics PhD Astrophysics Post-doc at Princeton

Premium health insurance coverage

401(k) retirement plan

Employee ownership through equity

Flexible vacation policy

Commuter benefits plan (including go pass)

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